car

This data is from UCI Machine Learning Repository: Car Evaluation Data Set. Inspired by syntagmatic's block: Abalone. forked from syntagmatic's block: Abalone

<!DOCTYPE html>
<meta charset="utf-8">
<title>car</title>
<style>
svg {
  font: 13px sans-serif;
}

.foreground path {
  fill: none;
  stroke: #222;
  stroke-opacity: 0.35;
  pointer-events: none;
  stroke-width: 1.5px;
}
 
.axis .title {
  font-size: 11px;
  font-weight: bold;
  text-transform: uppercase;
}

.axis line,
.axis path {
  fill: none;
  stroke: black;
  stroke-width: 2px;
  fill-opacity:0.1
}

.brush .extent {
  fill-opacity: .3;
  stroke: #fff;
  stroke-width: 1px;
}

pre {
  width: 900px;
  margin: 10px 30px;
  tab-size: 15;
  font-size: 15px;
}
</style>
<body>
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.5/d3.min.js"></script>
<script>

var margin = {top: 50, right: 60, bottom: 20, left: 50},
    width = 960 - margin.left - margin.right,
    height = 500 - margin.top - margin.bottom;

var dimensions = [
  {
    name: "buying",
    scale: d3.scale.ordinal().rangePoints([0, height]),
    type: types["String"],
    domain: ["vhigh", "high", "med","low"]
  },
  {
    name: "maint",
    scale: d3.scale.ordinal().rangePoints([0, height]),
    type: types["String"],
    domain: ["vhigh", "high", "med","low"]
  },
  {
    name: "doors",
    scale: d3.scale.ordinal().rangePoints([0, height]),
    type: types["String"],
    domain: ["2", "3", "4","5more"]
  },
  {
    name: "persons",
    scale: d3.scale.ordinal().rangePoints([0, height]),
    type: types["String"],
    domain: ["2", "4","more"]
  },
  {
    name: "lug_boot",
    scale: d3.scale.ordinal().rangePoints([0, height]),
    type: types["String"],
    domain: ["small", "med", "big"]
  },
  {
    name: "safety",
    scale: d3.scale.ordinal().rangePoints([0, height]),
    type: types["String"],
    domain: ["high", "med","low"]
  },
  {
    name: "class_name",
    scale: d3.scale.ordinal().rangePoints([0, height]),
    type: types["String"],
    domain: ["unacc", "acc","good","vgood"]
  },
  
];

var color = d3.scale.ordinal()
  .range(["blue","red","yellow","purple"]);

var x = d3.scale.ordinal()
    .domain(dimensions.map(function(dim) { return dim.name; }))
    .rangePoints([0, width]);

var line = d3.svg.line()
    .defined(function(d) { return !isNaN(d[1]); });

var yAxis = d3.svg.axis()
    .orient("left");

var svg = d3.select("body").append("svg")
    .attr("width", width + margin.left + margin.right)
    .attr("height", height + margin.top + margin.bottom)
  .append("g")
    .attr("transform", "translate(" + margin.left + "," + margin.top + ")");

var output = d3.select("body").append("pre");

var dimension = svg.selectAll(".dimension")
    .data(dimensions)
  .enter().append("g")
    .attr("class", "dimension")
    .attr("transform", function(d) { return "translate(" + x(d.name) + ")"; });

var colordimension = dimensions[6];

d3.csv("data.csv", function(error, rawdata) {
  if (error) throw error;

// take subset of data
  data = d3.shuffle(rawdata);

data.forEach(function(d) {
    dimensions.forEach(function(p) {
      d[p.name] = p.type.coerce(d[p.name]);
    });
  });

dimensions.forEach(function(dim) {
    if (!("domain" in dim)) {
      // detect domain using dimension type's extent function
      dim.domain  = d3.functor(dim.type.extent)(data.map(function(d) { return d[dim.name]; }));
    }
    dim.scale.domain(dim.domain);
  });

color.domain(colordimension.scale.domain());

svg.append("g")
      .attr("class", "foreground")
    .selectAll("path")
      .data(data)
    .enter().append("path")
      .attr("d", draw)
  		//.attr('fill-opacity', 0.8)
      .style("stroke", function(d) { return color(d[colordimension.name]); });

dimension.append("g")
      .attr("class", "axis")
      .each(function(d) { d3.select(this).call(yAxis.scale(d.scale)); })
    .append("text")
      .attr("class", "title")
      .attr("text-anchor", "middle")
      .attr("y", -9)
      .text(function(d) { return d.name; });

// Add and store a brush for each axis.
  dimension.append("g")
      .attr("class", "brush")
      .each(function(d) {
        d3.select(this).call(d.brush = d3.svg.brush()
          .y(d.scale)
          .on("brushstart", brushstart)
          .on("brush", brush));
      })
    .selectAll("rect")
      .attr("x", -8)
      .attr("width", 16);

//output.text(d3.tsv.format(data));

function draw(d) {
    return line(dimensions.map(function(dim) {
      return [x(dim.name), dim.scale(d[dim.name])];
    }));
  }

function brushstart() {
    d3.event.sourceEvent.stopPropagation();
  }

// Handles a brush event, toggling the display of foreground lines.
  function brush() {
    var actives = dimensions.filter(function(p) { return !p.brush.empty(); }),
        extents = actives.map(function(p) { return p.brush.extent(); });

var selected = [];

d3.selectAll(".foreground path").style("display", function(d) {
      if (actives.every(function(dim, i) {
          // test if point is within extents for each active brush
          return dim.type.within(d[dim.name], extents[i], dim);
        })) {
        selected.push(d);
        return null;
      }
      return "none";
    });

//output.text(d3.tsv.format(selected));
  }
});

</script>

https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.5/d3.min.js